placestats

Deer Lodge County, MT

A county, and one of the 3,222 county-level areas the Census Bureau reports for the United States.

Population9512
Density5.0people per km² of land
Median household income$49,533
Land area1908km²

Its peers

These are the 50 areas most like Deer Lodge County in population density and median household income (the middle household income). Both are measured in percentage terms and put on the same scale, so neither one counts for more. The closest eight: Gogebic County, MI, Cleveland County, AR, Douglas County, MO, Clay County, GA, Monroe County, MO, Montgomery County, AR, Oscoda County, MI, Dade County, MO. The peer scores below compare this county with all 50.

Least like its peers

The measures where Deer Lodge Countyis furthest from the average of its peers. The gap is shown in “sd” (standard deviations), which means typical gaps between peers: −2 sd is about two typical gaps below the peer average. A national ranking would hide these numbers behind the county’s income.

MeasureValueAmong peersNationallyvs peers
Binge drinking22.7%0th pct4th pct +4.4 sd
High cholesterol27.2%100th pct99th pct -4.3 sd
Obesity32.2%100th pct88th pct -4.0 sd
Catholic adherents24.5100th pct by value87th pct by value +3.7 sd
Median home value$209,700100th pct by value65th pct by value +3.7 sd
Republican share of the two-party vote, 200830.60th pct by value4th pct by value -3.3 sd

How it has changed

This chart covers 2010–2024. A few measures were published only once — the school, moving-up-the-income-ladder (mobility) and social-ties (social capital) ones. They show as a single point that says so. Everything else is drawn over the years its publisher covers. Each value sits at the year it describes, not the year it came out.

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Every measure

Rates and medians come first, then counts. Counts have no peer score. A county’s population cannot be high or low “for its peers” when the peers were picked partly by density. Density and median household income have no peer score either, since they are what the peers were picked by.

Adult income rank of children raised poor here0.4357061+0.6Opportunity Atlas
Adults under 65 without health insurance11.5%6039-0.5CDC PLACES
Aggregate travel time to work84,985 min———Census ACS 5-year
Alcohol-involved share of driving deaths uncertain0.429%2114+0.4County Health Rankings
All natural teeth lost, age 65 and over19.7%7025-0.4CDC PLACES
Any disability31.8%10050-2.5CDC PLACES
Arrivals per 100 people staying8.1988·83·+1.0IRS county migration flows
Arthritis24.9%8543-1.0CDC PLACES
Average test score-0.254022-0.2Stanford Education Data Archive
Binge drinking22.7%04+4.4CDC PLACES
Black Protestant adherents044·45·-0.6
Business closing rate8.0432·38·-0.3Census Business Dynamics Statistics
Business establishments274———Census Business Dynamics Statistics
Business establishments closed22———Census Business Dynamics Statistics
Business establishments opened23———Census Business Dynamics Statistics
Business opening rate8.4146·34·-0.2Census Business Dynamics Statistics
Cancer other than skin cancer7.4%819+0.9CDC PLACES
Catholic adherents24.5100·87·+3.7
Child poverty rate, ages 0-17 uncertain14.1%10069-2.4Census SAIPE
Children in single-parent households uncertain0.318%70·82·+0.4County Health Rankings
Children in the mobility cohort1,060———Opportunity Atlas
Children with below-median parental income1,060———Social Capital Atlas
Cholesterol screening77.4%02-2.6CDC PLACES
Chronic obstructive pulmonary disease7.5%9234-1.4CDC PLACES
Cognitive disability17.3%9637-1.9CDC PLACES
Colorectal cancer screening53%3815-0.3CDC PLACES
Congregations per 10,000 people13.84·26·-2.0
Coronary heart disease6.1%9838-2.0CDC PLACES
Current asthma11.4%3519+0.2CDC PLACES
Current cigarette smoking17.5%9033-1.2CDC PLACES
Dental visit in the past year60.6%9459+1.1CDC PLACES
Departures per 100 people staying6.5964·73·+0.4IRS county migration flows
Depression26%6328-0.1CDC PLACES
Diagnosed diabetes9.5%10074-2.1CDC PLACES
Disability-free score-0.14598·39·+2.1
Economic connectedness0.8128551+1.0Social Capital Atlas
Economic connectedness in high school0.6314019-0.2Social Capital Atlas
Economy score0.60996·38·+1.9
Education score-0.9856·6·-1.5
Effective property tax rate0.81463·49·+0.1Census ACS 5-year
Employed4,347———BLS LAUS
Evangelical Protestant adherents3.760·5·-1.7
Fair or poor self-rated health20.2%9847-2.1CDC PLACES
Fine particulate matter5.59491-1.8County Health Rankings
Firearm fatalities uncertain30.1—8—County Health Rankings
Firearm share of suicides, standardised12652·75·-0.1CDC WONDER mortality; RAND firearm ownership database
Firearm suicide rate30.3100·99·+2.8CDC WONDER mortality; RAND firearm ownership database
Flu vaccination among Medicare enrollees0.44%9860+1.8County Health Rankings
Food insecurity15.3%10054-1.6CDC PLACES
Frequent mental distress19.6%8829-0.9CDC PLACES
Frequent physical distress14.8%9430-1.5CDC PLACES
Friending bias0.02036281-0.4Social Capital Atlas
Friending clustering0.12742·74·-0.1Social Capital Atlas
Gini index of income inequality0.4258273-0.9Census ACS 5-year
Gross domestic product$421,400k———BEA Regional Accounts
Health score-0.038698·49·+1.9
Hearing disability8.2%4410-0.1CDC PLACES
High blood pressure30.5%10070-2.4CDC PLACES
High cholesterol27.2%10099-4.3CDC PLACES
High school graduation0.825%1318-1.3County Health Rankings
Homeownership rate69.5%14·28·-1.0Census ACS 5-year
Housing insecurity12%10061-1.7CDC PLACES
Housing units5,506———Census ACS 5-year
Income gap between arrivals and departures$6,77466·69·+0.4IRS county migration flows
Independent-living disability9.3%10038-2.1CDC PLACES
Injury deaths1104932-0.1County Health Rankings
Jail admission rate3,28561·74·-0.0
Jail population rate32921·36·-0.3
Labour force4,492———BLS LAUS
Lack of reliable transportation9.4%9338-1.3CDC PLACES
Lacking social and emotional support22.9%7659-0.9CDC PLACES
Life expectancy75.2 years8849+1.2County Health Rankings
Loneliness30.8%10089-1.9CDC PLACES
Mainline Protestant adherents2.624·16·-0.7
Mammography in the past two years70%4221+0.0CDC PLACES
Material security score0.343100·56·+1.9
Mean adjusted gross income per return$65,9599842+1.7IRS Statistics of Income
Mean income of arriving households$65,01998·73·+2.1IRS county migration flows
Mean income of departing households$58,24598·67·+2.4IRS county migration flows
Mean travel time to work21.2 min8272-1.0Census ACS 5-year
Median age49.6 years90·93·+1.3Census ACS 5-year
Median gross rent$66130·11·-0.6Census ACS 5-year
Median home value$209,700100·65·+3.7Census ACS 5-year
Median household income$49,533—16—Census ACS 5-year
Median household income (model-based)$56,64810031+1.8Census SAIPE
Median property tax bill1,706100·57·+2.3Census ACS 5-year
Membership of volunteering groups0.0493%2019-0.9Social Capital Atlas
Membership organisations8.412629-0.6County Health Rankings
Mobility disability12.8%10055-2.7CDC PLACES
Mutual-friend share0.99432·55·+0.1Social Capital Atlas
Net business formation rate0.36658·40·+0.1Census Business Dynamics Statistics
Net migration per 100 people staying1.684·88·+1.0IRS county migration flows
No leisure-time physical activity23.1%10076-3.1CDC PLACES
Obesity32.2%10088-4.0CDC PLACES
Occupied housing units4,560———Census ACS 5-year
Orthodox Christian adherents098·78·-0.1
Other religion adherents4.0290·80·+0.6
Owner-occupied housing units3,168———Census ACS 5-year
People covered by a tax return7,550———IRS Statistics of Income
People per tax return22·3·-2.8IRS Statistics of Income
People who did not move6,497———IRS county migration flows
Per capita income$32,7589845+2.0Census ACS 5-year
Per capita personal income$51,6957640+0.7BEA Regional Accounts
Personal income$500,670k———BEA Regional Accounts
Population9,685———BEA Regional Accounts
Population9,673———County Health Rankings
Population (firearm measures)9,081———CDC WONDER mortality; RAND firearm ownership database
Population aged 15 and over8,581———Census ACS 5-year
Population aged 18 and over8,546———CDC PLACES
Population aged 25 and over7,582———Census ACS 5-year
Population aged 65 and over2,422———Census ACS 5-year
Population below the poverty line1,649———Census ACS 5-year
Population below the poverty line1,214———Census SAIPE
Population for whom poverty status is determined9,086———Census ACS 5-year
Population for whom poverty status is determined9,339———Census SAIPE
Population in the same house one year ago8,066———Census ACS 5-year
Population with a bachelor's degree or higher1,689———Census ACS 5-year
Population, decennial census9,421———
Poverty rate18.1%5224-0.2Census ACS 5-year
Poverty rate (model-based)13%9854-1.8Census SAIPE
Premature mortality4549456-1.6County Health Rankings
Presidential votes cast, 20004,534———MIT Election Data and Science Lab
Presidential votes cast, 20044,543———MIT Election Data and Science Lab
Presidential votes cast, 20085,074———MIT Election Data and Science Lab
Presidential votes cast, 20124,460———MIT Election Data and Science Lab
Presidential votes cast, 20164,206———MIT Election Data and Science Lab
Presidential votes cast, 20204,891———MIT Election Data and Science Lab
Presidential votes cast, 20244,870———MIT Election Data and Science Lab
Pretrial share of the jail population50%21·31·-0.5
Preventable hospital stays2,6186656-0.4County Health Rankings
Private job growth3.8472·77·+0.3BLS Quarterly Census of Employment and Wages
Private jobs2,436———BLS Quarterly Census of Employment and Wages
Public-good pages per 1,000 users0.02619283+0.2Social Capital Atlas
Received food stamps11.9%2·44·-1.4CDC PLACES
Religious adherents34.928·21·-0.8
Republican share of the two-party vote, 200035.86·4·-2.3MIT Election Data and Science Lab
Republican share of the two-party vote, 2004396·5·-2.3MIT Election Data and Science Lab
Republican share of the two-party vote, 200830.60·4·-3.3MIT Election Data and Science Lab
Republican share of the two-party vote, 201233.60·5·-3.1MIT Election Data and Science Lab
Republican share of the two-party vote, 201646.14·12·-2.7MIT Election Data and Science Lab
Republican share of the two-party vote, 2020464·13·-2.7MIT Election Data and Science Lab
Republican share of the two-party vote, 202449.54·14·-2.7MIT Election Data and Science Lab
Republican swing, 2000 to 202413.732·67·-0.6MIT Election Data and Science Lab
Returns claiming charitable contributions2.67%74·38·+0.5IRS Statistics of Income
Returns claiming the earned income credit14%2·42·-1.7IRS Statistics of Income
Returns reporting capital gains15.8%84·53·+0.9IRS Statistics of Income
Returns reporting unemployment compensation3.34%84·79·+0.7IRS Statistics of Income
Routine checkup in the past year67.4%0·3·-2.9CDC PLACES
Self-care disability3.9%9640-1.5CDC PLACES
Share aged 65 and over25.5%76·88·+0.8Census ACS 5-year
Share American Indian or Alaska Native, not Hispanic uncertain1.7%43·78·-0.6Census ACS 5-year
Share divorced17.7%96·99·+1.9Census ACS 5-year
Share Hispanic or Latino, any race3.36%44·31·-0.4Census ACS 5-year
Share in the same house a year ago84.8%8·19·-1.2Census ACS 5-year
Share never married28%66·49·+0.1Census ACS 5-year
Share now married46.1%24·18·-0.8Census ACS 5-year
Share of suicides by firearm70.8%52·79·+0.0CDC WONDER mortality; RAND firearm ownership database
Share of two or more races, not Hispanic uncertain3.74%46·64·-0.3Census ACS 5-year
Share White, not Hispanic89.9%68·73·+0.9Census ACS 5-year
Share widowed8.2%38·76·-0.2Census ACS 5-year
Share with a bachelor's degree or higher22.3%9653+1.9Census ACS 5-year
Sleeping less than 7 hours35.6%9265-1.9CDC PLACES
Social connection score0.038666·52·+0.2
Stroke3.3%9435-1.4CDC PLACES
Taking blood pressure medication52.7%0·13·-2.8CDC PLACES
Tax returns filed4,490———IRS Statistics of Income
Tests taken8,247———Stanford Education Data Archive
Threat of utility shut-off8.9%10050-1.8CDC PLACES
Total population9,512———Census ACS 5-year
Trend in average test score-0.045302-1.9Stanford Education Data Archive
Unemployed145———BLS LAUS
Unemployment rate3.2%7659-0.8BLS LAUS
Vacancy rate17.2%20·60·-0.7Census ACS 5-year
Vacant housing units946———Census ACS 5-year
Vision disability5.2%9443-1.5CDC PLACES
Women aged 15 to 501,771———Census ACS 5-year
Workers aged 16 and over who commute4,017———Census ACS 5-year
Years of potential life lost11,3587936-0.6County Health Rankings

6of these values are marked uncertain. Either the published margin of error (the likely range around a survey estimate) is wide compared with the estimate, or the value was split across Connecticut’s 2022 boundary change. A split value is shared out between old and new areas, not measured directly.

A percentile is the share of the comparison group at or below this county’s value. A peer score needs at least 20 peers with published data. Where fewer report, the cell is left blank instead of being worked out from a handful.